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Mostrando ítems 11-19 de 19
Capítulo de Libro
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production
(2003)
In this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy production is presented. The equations that define the problem lead to a nonlinear mixed-integer ...
Ponencia
A Data Mining Method to Support Decision Making in Software Development Projects
(École Supérieure d' Électronique de l' Ouest, 2003)
In this paper, we present a strategy to induce knowledge as support decision making in Software Development Projects (SDP). The motive of this work is to reduce the great quantity of SDP do not meet the initial ...
Capítulo de Libro
NLC: A Measure Based on Projections
(2003)
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplicity in the evaluation of the attributes. ...
Capítulo de Libro
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
(2003)
This paper presents a study of the influence of the accuracy of hourly load forecasting on the energy planning and operation of electric generation utilities. First, a k Nearest Neighbours (kNN) classification technique ...
Capítulo de Libro
Prototype-based mining of numeric data streams
(2003)
Great organizations collect open-ended and time-changing data received at a high speed. The possibility of extracting useful knowledge from these potentially infinite databases is a new challenge in Data Mining. In this ...
Ponencia
ARGO: Improvement of Processes for Decision-Making in Software Engineering Project Management TIC2001-1143-C03
(2003-11-13)
This coordinated project develops, studies and researches into several key activities for software engineering project management. The final goal is to provide the project manager with a set of guides and procedures for ...
Artículo
Evolutionary Learning of Hierarchical Decision Rules
(IEEE, 2003)
This paper describes an approach based on evolutionary algorithms, hierarchical decision rules (HIDER), for learning rules in continuous and discrete domains. The algorithm produces a hierarchical set of rules, that is, ...
Artículo
Supervised learning by means of accuracy-aware evolutionary algorithms
(Elsevier, 2003)
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizable rules in continuous and discrete domains based on evolutionary algorithms. The main contributions of our approach are ...
Artículo
Finding representative patterns withordered projections
(Elsevier, 2003)
This paper presents a new approach to 2nding representative patterns for dataset editing. The algorithm patterns by ordered projections (POP), has some interesting characteristics: important reduction of the number of ...